In this paper the concept of strongly (λM )p − Cesáro summability of a sequence of fuzzy numbers and strongly λM− statistically convergent sequences of fuzzy numbers is introduced. Keywords—Fuzzy numbers, statistical convergence, Orlicz space, entire sequence.

To improve inter-operability of future 5G systems with existing technologies, this paper proposes a novel contextaware user-driven framework for network selection in multiRAT environments. It relies on fuzzy logic to cope with the lack of information usually associated with the terminal side and the intrinsic randomness of the radio environment. In particular, a fuzzy logic controller first est...

In this paper the concept of strongly (λM )p − Cesáro summability of a sequence of fuzzy numbers and strongly λM− statistically convergent sequences of fuzzy numbers is introduced. Keywords—Fuzzy numbers, statistical convergence, Orlicz space, gai sequence.

The machine translation of English-Chinese long sentences is out order under the constraint mixed corpus. In to improve accuracy sentences, a method based on fuzzy semantic optimization proposed. By adopting systematic configuration structure fusion, ontology mapping model sentence subject list corpus constructed. distribution space corpus, extracting best relevance and analyzing concept tree c...

In this paper we propose to apply the concept of L-valued kernels (see Bisdorff & Roubens [3, 4]) to the problem of constructing a global ranking from a pairwise L-valued outranking relation defined on a set of decision alternatives as encountered in the fuzzy preference modelling context (see Roy & Bouyssou [11] for instance). Our approach is based on a repetitive selection of best and worst c...

This paper considers the generation of some interpretable fuzzy rules for assigning an amino acid sequence into the appropriate protein superfamily. Since the main objective of this classifier is the interpretability of rules, we have used the distribution of amino acids in the sequences of proteins as features. These features are the occurrence probabilities of six exchange groups in the seque...

We introduce an objective function-based fuzzy clustering technique that incorporates linear combinations of attributes in the distance function. The main application eld of our method is image processing where a comparison pixel by pixel is usually not adequate, but the environmnet of a pixel or groups of pixels characterize important properties of an image or parts of it. In addition, our app...

The aim of this paper is to construct some new fuzzy categories related to many-valued sets and many valued topologies and to consider their properties. Keywords— Fuzzy categories, GL-monoids, L-valued equalities, L-topologies and L-fuzzy topologies.